Principal Data Scientist, Health Informatics

Tech Stack

Responsibilities

• Own clinical data quality across claims, EHR, and ADT, defining standards for structuring, normalization, and validation as modeling inputs.
• Build and deploy production ML/AI models for risk stratification, care gap prediction, treatment effect estimation, and LLM applications.
• Apply health economics and outcomes methods to translate clinical and claims data into decision-grade evidence, aligned with CMS, NCQA, and MCO standards.
• Advance machine and AI products by providing senior modeling judgment to the product roadmap and ensuring clinical and methodological soundness.
• Set technical standards, make architectural trade-offs, drive alignment across stakeholders, and mentor junior data scientists.

Benefits

• 401k
• Equity
• Health Insurance
• Learning Budget
• Parental Leave
• Remote Stipend

Culture

Requirements